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Estimating forest biomass by remote sensing radar data in Brazil

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Remote sensing-radar was used to analyze forest mapping and biomass estimates on Brazilian territory . Two examples of SAR attributes for the modeling of the aboveground biomass of forest stands are presented: (1) full-polarimetric attributes of PALSAR/ALOS (Phased Array type L-band Synthetic Aperture Radar /Advanced Land Observing Satellite) for modeling in the Amazonian tropical forest, considering the influence of the geomorphometric aspects on this radar response, and (2) polarimetric and interferometric airborne data (XHH and full-polarimetric of P-band ) for modeling Eucalyptus sp. stands. In both cases, an analysis of forest structure variability through polarimetric signatures was conducted. A multivariate regression technique was used to integrate the variables from polarimetric and /or interferometric radar attributes and field inventory. Considering the terrain aspects where the tropical forest was located, the most significant variables for the biomass modeling were the Volumetric Scattering of Freeman-Durden target decomposition, Anisotropy, Relief Elevation, Slope, and the first and third helicity components of the Touzi model . For the Eucalyptus biomass model, the Interferometry Heigt and Canopy Scattering Index variables were significant. The statistical analysis based on field survey measures to validate each model, indicated a margin of error below 20% for the biomass estimations , showing the importance of SAR attributes for models of natural and planted forest stock density .
Rocznik
Strony
119--132
Opis fizyczny
Bibliogr. 44 poz., rys., tab.
Twórcy
  • National Institute for Space Research, São José dos Campos, Brazil
autor
  • National Institute for Space Research, São José dos Campos, Brazil
autor
  • European Space Agency – ESRIN, Frascati (Roma), Italy
Bibliografia
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  • Bispo P.C. [2012]: Efeitos da geomorfometria na caracterização florístico-estrutural da Floresta Tropical na região de Tapajós com dados SRTM e PALSAR (Effects of geomorphometry in floristic-structural characterization of Tropical Forest at Tapajós region with use of SRTM and PALSAR data). National Institute for Space Research (INPE) [accessed 13.05.2014] Available from: http://urlib.net/8JMKD3MGP7W/3C34QC8 [Ph.D thesis]
  • Bispo P.C., Valeriano M.M., Santos J.R. [2012]: Effects of the geomorphometric characteris-tics of the local terrain on floristic composition in the central Brazilian Amazon. Austral Ecology 34 [4]: 491–499
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  • Carvalhaes E. [2013]: Mudanças climáticas - ações globais precisam ser efetivas. 8, [fev.março], Folha da Bracelpa, Publicação da Associação Brasileira de Celulose e Papel (Climate changes - global actions need to be effectives. 8, [fev.março] Folha da Bracelpa Publication of the Brazilian Association of Pulp and Paper) [accessed 13.05.2014]. Available from: http://www.bibliotecaflorestal.ufv.br/bitstream/handle/123456789/3902/FolhaBracelpa-008.pdf?sequence=2, São Paulo
  • Folha da Bracelpa [2013]: Mudanças climáticas – ações globais precisam ser efetivas. 8, [fev.março] Publicação da Associação Brasileira de Celulose e Papel (Climate changes – global actions need to be effectives. 8, [fev.março] Publication of the Brazilian Association of Pulp and Paper). [accessed 13.05.2014] Available from: http://www.bibliotecaflorestal.ufv.br/bitstream/handle/123456789/3902/FolhaBracelpa-008.pdf?sequence=2, São Paulo
  • Freeman A., Durden S.L. [1998]: A three-component scattering model for polarimetric SAR data. IEEE Transactions on Geoscience and Remote Sensing 36 [3]: 963–973
  • Gama F.F., Santos J.R., Mura J.C. [2010a]: Eucalyptus biomass and volume estimation using interferometric and polarimetric SAR data. Remote Sensing 2 [4]: 939–956
  • Gama F.F., Mura J.C., Albuquerque P.C.G., Santos J.R. [2010b]: Avaliação do potencial da interferometria SAR para o mapeamento altimétrico de áreas reflorestadas por Eucalyptus sp. (Evaluation of the potential of SAR interferometry for altimetry mapping of reforested areas by Eucalyptus sp.). Boletim de Ciências Geodésicas 16 [4]: 519–537
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  • Gonçalves F.G., Santos J.R., Treuhaft R.N. [2011]: Stem volume of tropical forests from polarimetric radar. International Journal of Remote Sensing 32 [2]: 503–522
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  • Lee J.S., Pottier E. [2009]: Polarimetric radar imaging: from basics to applications. Taylor & Francis, Boca Raton
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  • Luckman A.J. [1998]: Correction of SAR imagery for variation in pixel scattering area caused by topography. IEEE Transactions on Geoscience and Remote Sensing 36 [1]: 344–350
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  • Neeff T., Biging G.S., Dutra L.V., Freitas C.C., Santos J.R. [2005a]: Modeling spatial tree pattern in the Tapajós forest using interferometric height. Revista Brasileira de Cartografia 57 [1]: 1–6
  • Neeff T., Dutra L.V., Santos J.R., Freitas C.C., Araujo L.S. [2005b]: �Power spectrum analysis of SAR data for spatial forest characterization in Amazonia. International Journal of Remote Sensing 26 [13]: 2851–2865
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  • Oliveira L.T., Carvalho L.M.T., Ferreira M.Z., Oliveira T.C.A., Acerbi Junior F.W. [2012]: Application of LIDAR to forest inventory for tree count in stands of Eucalyptus sp. Cerne 18 [2]: 175–184
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  • Saatchi S., Marlier M., Chazdon R.L., Clark D.B., Russel A.E.S. [2011]: Impact of spatial variability of tropical forest structure on radar estimation of aboveground biomass. Remote Sensing of Environment 115 [11]: 2836–2849
  • Sambatti J.B.M., Leduc R., Lübeck D., Moreira J.R.; Santos J.R. [2012]: Assessing forest biomass and exploration in the Brazilian Amazon with airborne InSAR: an alternative to REDD. The Open Remote Sensing Journal 5: 21–36
  • Santos J.R., Freitas C.C., Araujo L.S., Dutra L.V., Mura J.C., Gama F.F., Soler L.S., Sant´Anna S.J.S. [2003]: Airborne P-band SAR applied to aboveground biomass studies in the Brazilian tropical rainforest. Remote Sensing of Environment 87 [4]: 482–493
  • Santos J.R., Martins F.S.R.V., Galvão L.S., Xaud H.A.M. [2013]: Contribution of polarimetric SAR attributes for modeling of the tropical forest biomass affected by fire. Proceedings of: 33º EARSeL Symposium, 3–6 June 2013. Towards Horizon 2020 – Earth Observations and Social Perspectives, Matera: 219–226
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  • Touzi R. [2007]: Target scattering decomposition in terms of roll-invariant target parameters. IEEE Transactions on Geoscience and Remote Sensing 45[1]: 73–84
  • Touzi R., Deschamps A., Rother G. [2009]: Phase of target scattering for wetland characterization using polarimetric C-band SAR. IEEE Transactions on Geoscience and Remote Sensing 47 [9]: 3241–3261
  • Treuhaft R.N., Chapman B.D., Santos J.R., Gonçalves F.G., Dutra L.V., Graça P.M.L.A., Drake J.B. [2009]: Vegetation profile in tropical forests from multibaseline interferometric synthetic aperture radar, field, and lidar measurements. Journal of Geophysical Research 114: D23110
  • Treuhaft R.N., Gonçalves F.G., Drake J., Chapman B., Santos J.R., Dutra L.V., Graça P.M.L.A., Purcell G.H. [2010]: Biomass estimation in a tropical wet forest using Fourier transforms of profiles from Lidar or Interferometric SAR. Geophysical Research Letters 37: L23403
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Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-523b31d9-5992-47d8-b99b-233f353631db
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